Events & probability
Sample spaces, events, and the rules that turn informal statements about chance into precise questions.
Academy · Field 02
A framework for reasoning carefully when outcomes are uncertain.
In development
A proposed direction
These are proposed areas of study. The course structure, prerequisites, and lesson sequence are still being developed.
Sample spaces, events, and the rules that turn informal statements about chance into precise questions.
How information changes a probability, what independence means, and how conditional reasoning works.
Discrete and continuous models, expectation, variation, and ways to describe the shape of uncertainty.
The ideas behind limit behavior, simulation, and the connection between individual random outcomes and larger patterns.
The intended experience
Recorded explanations, written notes, and problems are planned for a dedicated course workspace.
Interactive teaching is planned around a digital writing board, with questions and discussion during class.
A separate student forum is planned for each course, with space for questions, shared reasoning, and instructor replies.
These academy features are planned and are not available on the current public site.
Explore now
The free Gaussian process explorer is already available in your browser. Add observations and investigate how a model responds.